Google's AI Overviews appeared roughly three times more often on brand-name searches during September, according to MarketScale. The 3x spike marks a sharp acceleration in the feature's presence on queries containing specific brand names.

The figure comes from third-party measurement, not from a Google announcement. That distinction shapes how SEO teams should read the signal.

What did the tracking actually show?

External measurement captured the tripling on brand-name queries throughout September. The reporting did not specify which tracking tool produced the figure, the sample size, or the verticals covered.

The metric tracks AI Overview appearances, not clicks or conversions. A triple in presence does not translate into a triple in traffic. Impression data overstates engagement when summaries answer the query directly on the SERP.

Is this a confirmed Google policy shift?

No. The signal comes from outside Google. Search Engine Land and Search Engine Roundtable have repeatedly distinguished between confirmed Google statements and tool-derived signals in their AI Overview coverage throughout 2025.

Google has not commented on the September brand-search increase in any official channel. No blog post, documentation update, or Search Central post references the change. Marketers should treat the figure as a third-party signal pending direct confirmation.

How do brand-name searches differ from generic queries?

Brand queries carry high commercial intent. A user searching "Nike running shoes" already knows what they want. Showing an AI Overview above that result can push the brand's organic listing below the fold, sometimes off the visible screen entirely.

Generic queries trigger AI Overviews inconsistently throughout 2025. The September data suggests brand-name searches now generate the feature at higher rates than informational, non-branded queries. That ordering reverses the early-2025 pattern reported by several tracking tools.

For brands, the practical risk has shifted. Brand-defense SEO used to mean owning position one. The new risk is owning position one while an AI Overview occupies position zero above it, citing third-party sources instead of the brand itself.

What is the methodology behind the figure?

The MarketScale piece cites external tracking without naming the tool. Common third-party sources for AI Overview presence data include BrightEdge, Authoritas, Semrush Sensor, and Similarweb's SERP feature tracker. Each uses different query pools, sampling cadences, and detection methods.

A 3x jump reported by one tool may not replicate in another's dataset. Cross-checking against a second independent tracking source remains the standard verification step before acting on any AI Overview metric. Analysts should also confirm whether the data captures desktop, mobile, or both surfaces.

How does this fit the broader 2025 timeline?

Google launched AI Overviews broadly in May 2024 after the initial Search Labs experiment. Coverage expanded through late 2024 with mixed reporting on presence rates by query type across tracking vendors.

Early 2025 reporting, including coverage from Search Engine Roundtable, noted AI Overview volatility on generic queries. Brand queries saw steadier but lower presence through the first three quarters. The September tripling breaks that prior pattern in either direction.

What should SEO teams monitor next?

Watch three indicators across October and Q4. First, AI Overview presence rates on your top 50 branded queries using at least two independent tracking tools. Second, click-through deltas to brand organic listings when an AI Overview fires versus when it does not. Third, competitor brand queries where an AI Overview cites a third-party source over the brand's own page.

The September signal is large enough to warrant tracking. It is not large enough to declare a permanent shift in Google's brand-query handling. November data will tell analysts whether the 3x level holds, climbs higher, or reverts toward the prior baseline seen through August.